·       Risk Team Leadership and Management :  Act as the India lead for Risk function. Participates in the evaluation panel to assess candidates for cultural, organisational, and process alignment, ensuring a comprehensive selection process that values both technical abilities and team dynamics. Identifies training and development needs, collaborating with the functional leader and L&D team to offer learning support. Collaborate with the functional leader to identify gaps in delivery areas, cross training opportunities within risk function. Contributes to People strategy process. Facilitates onboarding and offboarding processes for employees, ensuring they have access to necessary Investec-mandated training, compliance resources, and support for success in their roles. Manages team dynamics, addresses grievances, and promotes a positive work environment

• Model Validations: Provide support and oversight for the model validation exercises conducted by the India validation team to ensure they have been performed in line with the bank's internal policies and standards and relevant UK regulations. This may also include conducting independent validation projects, as required.
• Model Risk Management: Support Model Risk BAU management activities, such as reviewing the bank's Model Inventory, Validation Findings Management, Model Identification processes and supporting the development of the bank's Model Risk Framework, including policies and standards.
• People Support: Provide BAU support to the India team, support project resourcing and liaise with UK colleagues and support the cohesion of colleagues across geographies to build a collaborative MR&V team culture.
• Stakeholder Engagement: Work closely with Model Development, Internal Audit and other risk areas, as well as support the Credit and Business functions in their understanding of the models and their associated assumptions and limitations.

• Modelling experience: Considerable experience in model development or model validation of, at a minimum, PD, EAD and LGD models for IRB and/or IFRS 9 across retail and/or corporate portfolios. Must have a strong understanding of common statistical modelling techniques and their associated assumptions and limitations.
• Communication and documentation: Excellent written and oral communication skills. Ability to articulate complex technical concepts to non-technical audiences in a clear and concise manner. Can prepare high-quality technical validation documentation as well as summarise key points for senior stakeholders.
• Educational background: Highly analytical with a degree in highly numerate field (such as Mathematics, Statistics, Econometrics, etc.) with strong academic records and understanding of mathematical and statistical theory.
• Analytical acumen: Exhibit strong analytical abilities, with experience in interpreting and summarising complex data, performing relevant statistical tests and presenting findings clearly to diverse audiences.
• Coding proficiency: Demonstrable proficiency of coding in the Python programming language and supporting environments (e.g. Visual Studio).
• Collaboration and Prioritisation: Ability to build strong working relationships and work collaboratively with different stakeholders on various projects across the bank and act as an SME for the Validation function. Ability to effectively prioritise and manage multiple projects and/or deadlines and be adaptable to changing priorities.
• Continuous Learning: Display strong interest in mastering credit risk model validation and Model Risk Management and has a strong understanding of the UK's IRB regulatory environment, with an ability to keep to date with regulatory changes.

 Any other attributes that would be helpful, but not essential for the role.   -  Experience with various modelling and validation approaches for low default and/or low loss portfolios.

·       Technical knowledge of relevant MRM regulation, such as PRA's SS1/23 and FRB's SR11-7.

·       Experience with Stress Testing and/or Forecasting model development or validation and having a general understanding of the ICAAP process.

·       Experience with model development and/or validation of non-credit risk specific model types, such as Operational Risk, AI/ML, CCR.

·       Experience with alternative programming languages such as R, MATLAB, SAS or SQL.

·       Experience of working in a fast-paced environment, including taking initiative to problem-solve, champion positive behaviours and build out capabilities.